Dadosfera Library | Process
This library was designed to simplify data extraction, processing and analysis from various sources inside and outside Dadosfera, such as:
- Fetching data from Dadosfera S3 buckets and Snowflake;
- Creating and retrieving data from our Catalog;
- Integrating with APIs such as OpenAI;
- It provides a modular interface for simple, efficient interaction with these sources, focusing on common tasks such as data collection, HTML parsing and communication with external APIs.
The general library workflow involves connecting to different data providers, retrieving information and converting it into formats ready for analysis or integration with other systems, following Dadosfera Platform standards. The library also structures data into datasets and simplifies handling large information volumes stored in the cloud.
Alongside Dadosfera Library, we provide Steps, a collection of ready-to-use scripts for Dadosfera.
All interactions are organized to reuse functions and components, making library maintenance and expansion simpler.
Available Version
Keeping the library up to date is essential for access to the latest features, performance improvements and security fixes. Below are several ways to check the latest Dadosfera Library version.
In the Dadosfera platform's Intelligence Module, you can check which library version is installed in your project environment.
- Check the latest version released on Docker Hub: Dadosfera Library Docker Image
- Click
Tagsto see something similar to the image below.

- In Jupyter Notebook, enter the code below to check the version installed in your environment. Running it shows something similar to the image below.
!pip show dadosfera
- If your environment version is older than the latest Docker Hub version, follow these instructions:
- Click
Enviromentsand check the version in theSetup scriptsection.

- Visit the official GitHub repository, Dadosfera Library Github, for detailed information about released versions.

- Change the
Setup scriptcode to the latest version released on GitHub. Then clickBuildto update.

You can now use the new Dadosfera Library features.
- If you have not yet configured a project environment in the Dadosfera Intelligence Module, follow Installing the Dadosfera Library.
Release notes
The dadosfera/base-kernel-py:1.0.3 image provides a Python 3.8 environment with various data science and web development packages. It was designed for Dadosfera's Intelligence and Transformation Module, a platform for building, running and deploying data science pipelines.
Included Packages
Linux additions
- Chrome Driver was added to the image as a dependency for web scraping tools such as Selenium.
Python Packages
- awscli
- boto3
- snowflake-snowpark-python
- streamlit
- orchest
- dadosfera-library